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| import seaborn as sns | |
| from pytrends.request import TrendReq | |
| import matplotlib.pyplot as plt | |
| pytrends = TrendReq(hl='en-US', tz=360) | |
| kw_list = ["Data Science", | |
| "Machine Learning", | |
| "Artificial Intelligence", | |
| "Data Analytics"] | |
| pytrends.build_payload(kw_list, cat=0, timeframe='all', geo='', gprop='') |
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| url = ['https://github.com/pandas-dev/pandas', | |
| 'https://github.com/scikit-learn/scikit-learn', | |
| 'https://github.com/keras-team/keras'] | |
| libraries = ['Pandas', 'Scikit_Learn', 'Keras'] | |
| libs_dict = dict(zip(libraries, url)) | |
| columns = ['Issues', 'Pull', 'Projects', 'Commits', 'Branches', 'Releases', 'Contributors', 'Watch', 'Star', 'Fork'] | |
| df = pd.DataFrame(columns=columns, index=libraries) |